Comparison of Profiling Power Analysis Attacks Using Templates and Multi-Layer Perceptron Network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F14%3APU111090" target="_blank" >RIV/00216305:26220/14:PU111090 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Comparison of Profiling Power Analysis Attacks Using Templates and Multi-Layer Perceptron Network
Original language description
In recent years, the cryptographic community has explored new approaches of power analysis based on machine learning models such as Support Vector Machine (SVM), Multi-Layer Perceptron (MLP) or Random Forest (RF). Realized experiments proved that the method based on MLP can provide almost 100% success rate after optimization. Nevertheless, this description of results is based on the first order success rate that is not enough satisfactory because this value can be deceiving. Moreover, the power analysis method based on MLP has not been compared with other well-known approaches such as template attacks or stochastic attacks yet. In this paper, we introduce the first fair comparison of power analysis attacks based on MLP and templates. The comparison isaccomplished by using the identical data set and number of interesting points in power traces. We follow the unified framework for implemented side-channel attacks therefore we use guessing entropy as a metric of comparison.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/FR-TI4%2F647" target="_blank" >FR-TI4/647: *Integration server with cryptographic protection</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 1st International Conference on Mathematical Methods & Computational Techniques in Science & Engineering
ISBN
978-1-61804-256-9
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
134-139
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Atény
Event date
Nov 28, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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